Talk to sales Try for Free
Mubin Ashfaq Tirsaiwala

Mubin Ashfaq Tirsaiwala

Internship Trainee

Followers of Mubin Ashfaq Tirsaiwala2000 followers
location of Mubin Ashfaq TirsaiwalaNew York, New York, United States

Connect with Mubin Ashfaq Tirsaiwala to Send Message

Connect

Connect with Mubin Ashfaq Tirsaiwala to Send Message

Connect

  • Timeline

  • About me

    Senior Machine Learning Engineer | Master's in Data Science

  • Education

    • University at Buffalo

      2022 - 2023
      Master's degree Data Science 3.93/4

      Activities and Societies: Technical Lead at UB AI Club Coursework:Advanced Machine Learning, Data Intensive Computing, Numerical Optimization and Advanced Linear Algebra, Probability and Statistics, Unsupervised Learning and Time Series Analysis

    • Shiv Nadar University

      2016 - 2020
      Bachelor of Technology Major in Electrical and Electronics Engineering

    • Shiv Nadar University

      2016 - 2020
      Minor Degree Mathematics

  • Experience

    • BHEL

      Jul 2018 - Jul 2018
      Internship Trainee

      Completed my vocational training as a part of my summer internship post 2nd year. Had a great experience here under Turbine and machine management. Learnt about actual application of V/F control, different types of Lathe machines , turbines , project management etc.

    • Statlogic

      May 2019 - Jul 2022

      • Machine Learning Engineer 2

        Jan 2021 - Jul 2022

      • Machine Learning Engineer

        Aug 2019 - Jan 2021

      • Summer Intern

        May 2019 - Jul 2019

    • Diginique TechLabs

      Jun 2019 - Jul 2019
      Summer Intern

    • Shiv Nadar University

      Jan 2020 - Jun 2020
      Undergraduate Teaching Assistant - Applied Machine Learning

    • University at Buffalo

      Jan 2023 - May 2023
      Graduate Teaching Assistant - Numerical Mathematics and Advanced Linear Algebra

    • Chargely

      May 2023 - Sept 2024
      Senior Machine Learning Engineer

      ‣ Led the design, development and deployment of the Chargely App backend using FastAPI, MongoDB, and Docker on AWS.‣ Improved click through rates by 70% by training a recommendation model delivering highly personalized results.‣ Increased model training and inference speed by 3x by implementing data and model parallelism on multi-GPU setup.‣ Reduced data staleness by 200% by orchestrating daily ETL pipelines in Apache Airflow.‣ Enhanced robustness with automated model training, evaluation, and deployment pipelines with MLFlow and Kubeflow.‣ Managed a 5-developer team using agile methods, facilitating cross-functional collaboration to achieve project milestones. Show less

    • University at Buffalo

      Aug 2023 - Dec 2023

      Guiding students projects spanning:‣ Distributed data stores such as Hadoop, Spark batch and streaming, Hive, and HBase for Data Intensive applications.‣ Training Classification and Regression models such as Random Forests, Support Vector Machines, Logistic Regression, and Naive Bayes with distributed data sources.

      • Graduate Teaching Assistant - Data Intensive Computing

        Aug 2023 - Dec 2023

      • Graduate Teaching Assistant - Numerical Mathematics and Advanced Linear Algebra

        Aug 2023 - Dec 2023

    • Brigit

      Sept 2024 - now
      Machine Learning Infrastructure Engineer

  • Licenses & Certifications